Сравнение методов

	Анализ таблиц сопряженности	Логистическая регрессия
Область	Статистика	Статистика исследований
Семейство	Hypothesis test	Process / pipeline
Год появления	1900	1958
Автор метода	Karl Pearson	David Roxbee Cox
Тип	Descriptive and inferential categorical analysis	Method
Основополагающий источник	Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine, 50(302), 157–175.	Cox, D. R. (1958). The regression analysis of binary sequences. Journal of the Royal Statistical Society, Series B, 20(2), 215–242.
Другие названия	crosstab, contingency table analysis, two-way frequency table, bivariate frequency analysis	logit model, binomial logistic regression, LR
Связанные	5	3
Сводка	Cross-tabulation analysis (contingency table analysis) is a foundational descriptive and inferential technique for examining the relationship between two or more categorical variables. It arranges observed frequencies into a table of rows and columns, enabling visual inspection of patterns and formal chi-square testing of independence between the variables.	Logistic regression is a statistical method for modeling the probability of a binary outcome (disease present/absent, success/failure) as a function of continuous and categorical predictors. Developed by David Roxbee Cox (1958), it solves the problem of predicting categorical outcomes by applying a logistic transformation to constrain predictions to the [0,1] probability interval, enabling accurate risk stratification, diagnostic prediction, and causal inference in epidemiology, medicine, and social science.